About the Journal

The Journal of Artificial Intelligence and Expert Systems (JAIES) is a peer-reviewed, international scholarly journal dedicated to advancing research, innovation, and practical solutions in the field of artificial intelligence. The journal serves as a global forum for academics, researchers, industry professionals, and policymakers to share cutting-edge developments that address the growing complexity of cyber threats in modern digital environments.

JAIES focuses on the engineering and innovative aspects of artificial intelligence, emphasizing the design, development, implementation, and evaluation of secure systems and technologies. The journal promotes interdisciplinary research that integrates cybersecurity with artificial intelligence, machine learning, data analytics, cryptography, cloud and edge computing, Internet of Things (IoT), and cyber-physical systems.

The journal publishes high-quality original research articles, review papers, technical reports, case studies, and applied research that contribute to both theoretical advancement and real-world cybersecurity practice. Special attention is given to innovative methodologies, scalable security architectures, intelligent threat detection systems, and privacy-preserving solutions that enhance the resilience and trustworthiness of digital infrastructures.

JAIES is committed to maintaining rigorous academic standards through a double-blind peer-review process, ensuring the integrity, originality, and scientific quality of published work. The journal encourages contributions that address emerging challenges, industry needs, and future directions in cybersecurity engineering and innovation.